Postgraduate theses supervised as primary advisor. Where available, each title links to the full text in the institutional repository.
Scientific machine learning: Neural ODEs, physics-informed neural networks (PINNs) and data-driven modelling of dynamical systems, with applications in biology, physics and finance.
Machine learning for biomedical data: prediction and classification models, and graph and network methods for biological and brain data.
Nonlinear analysis: differential equations and inclusions, fractional calculus and variational methods.
Mathematics education and technology: generative AI tools, GeoGebra and digital environments, and the history of mathematics in teaching.
Theoharis, V. (2020). Mathematical analysis of nonlinear Support Vector Machines for supervised machine learning applications: Data analysis and classification with Python. MSc in Mathematics.
Gasparinatou, M.-M. (2021). Fractional differential inclusions and applications. MSc in Mathematics.
Sideri, I. (2022). Graph theory applications within the One Health framework and implementation in R. MSc in Bioinformatics & Neuroinformatics.
Sarri, E.-F. (2022). High-resolution HLA estimation in umbilical cord blood units using frequency-based and machine learning algorithms. MSc in Bioinformatics & Neuroinformatics.
Antoniadis, P. (2022). Teaching the definite integral through historical development and problem-based activities rooted in the history of mathematics (Grade 12). MSc in Mathematics.
Saranti, K. (2023). The use of ICT in mathematics teaching in secondary education in the region of Achaia. MSc in Mathematics.
Papalefteri, E. (2024). Development of an interactive platform for the integrated use of bioinformatics tools: A case study in neurodegenerative disease analysis. MSc in Bioinformatics & Neuroinformatics.
Sidiropoulou, G. (2024). Applications of machine learning in lung cancer prediction. MSc in Bioinformatics & Neuroinformatics.
Efstathopoulos, Ch. (2024). GeoGebra and augmented reality: The case of the mathematics student club at the 1st General Lyceum of Lefkada. MSc in Mathematics.
Palilis, L. (2025). A review of artificial intelligence applications in mathematics education: Methods, effectiveness, and perspectives. MSc in Mathematics.
Siggeri, M. (2025). Secondary school teachers’ perceptions of AI tools and their usefulness in mathematics education: The case of Western Macedonia. MSc in Mathematics.
Kolios, E. (2026). Modeling the temporal dynamics of gene expression using Neural Ordinary Differential Equations. MSc in Bioinformatics & Neuroinformatics.
Kollias, N. (2026). Use of Physics-Informed Neural Networks for solving linear and nonlinear physics problems. MSc in Mathematics.
Tsiokanou, K. (2026). Comparing motor execution and motor imagery via brain network topology: A graph theory approach. MSc in Bioinformatics & Neuroinformatics.
Pararas, I. (2026). Continuous-time modelling of investor sentiment with Neural Differential Equations and applications to stock price forecasting. MSc in Mathematics.